×
Antioch
Physical AI simulation platform that closes the sim-to-real gap for robotics and autonomous systems
Last verified August 17, 2026 · Updated daily
What Antioch is building
Antioch builds a simulation platform for physical AI: high-fidelity digital twins of robots and their environments that autonomous systems teams can use to train, test, and validate their machines without building mock warehouses or running expensive hardware-in-the-loop tests. The platform lets teams spin up parallel simulations, test edge cases at scale, and generate synthetic sensor data that closely mirrors what the robot will encounter in the real world. Its AI assistant helps developers configure environments, define scenarios, and interpret results. Antioch integrates natively with existing CI/CD workflows so simulation becomes part of the development loop, not a separate validation step. It targets the gap between what today's AI models can do and what robotics teams can afford to test: currently, only companies with Tesla or Waymo-scale budgets can build this infrastructure themselves. Antioch's pitch is that every autonomy team should have access to it.
Why this matters
Physical AI is the defining technology race of the 2020s. Warehouses, factories, hospitals, construction sites, and logistics hubs are all being reimagined around autonomous systems. The bottleneck is not AI capability. It is data. To train a robot to handle physical spaces, companies need vast amounts of accurate, varied training data from those environments. Collecting it in the real world means building mock-up facilities, hiring actors to simulate scenarios, and instrumenting factory lines with sensor arrays. That costs millions and takes months. Simulation is the only path to scale. But simulation only works if it is faithful enough that what the robot learns transfers to reality. That is the sim-to-real gap, and it is the gating constraint on the entire industry. Antioch compares its role to Cursor's role in software development: not building the AI models, but building the environment in which they can be developed fastest. MIT's CSAIL lab is already using the platform to benchmark LLMs on robot design tasks. That is a research validation signal from an institution with no commercial incentive to say nice things.
Open roles at Antioch
3 positions we're tracking. Roles are re-checked daily and removed when filled.
Know when Antioch is hiring before anyone else
A role stays uncontested for about four days. Here's the window — and where we put you in it.
From $9/month, cancel any time.
Watching Antioch
0 applicantsRole spotted & verified
1You get the alert
1You've applied
~8Hits the job boards
250+Hiring outlook
Very High. Funding announcement explicitly targets scaling the engineering team. Careers page says "Don't see the right fit? Reach out directly at founders@antioch.com." That is an open invitation with no ATS filter.
Working at Antioch
Founded in , Antioch is Physical AI simulation platform that closes the sim-to-real gap for robotics and autonomous systems. They're now people. For a AI company this size, the reality is opportunity to shape your role based on the company stage.
Most openings are based out of New York.
How to actually get hired at Antioch
Why applying the normal way doesn't work
Antioch runs an applicant tracking system, but hiring managers still work referrals first. A cold application to Antioch isn't dead, it's just fourth in line behind internal referrals, sourced candidates and recruiter pipelines.
Who to contact at Antioch
What to show them
The core product is a simulation environment. Building it requires deep knowledge of physics engines, sensor modelling (LiDAR, cameras, depth sensors), and the specific failure modes that cause sim-to-real gaps. As Antioch expands to support more robot types and environments, this is the first team that grows. Core skills: ROS2, physics simulation (Isaac Sim, Gazebo, or equivalent), sensor noise modelling, Python/C++, reinforcement learning for robotics, domain randomization techniques. Proof of work: Build or document a simulation environment for a specific edge case (a robot arm picking from a cluttered bin, a mobile robot navigating a reflective surface) and write a short analysis of where the sim-to-real gap is largest in that scenario and how you would reduce it. Even a written technical proposal counts more than silence here.
A cold email that works at Antioch
What Antioch screens for
Shyam Sankar (Palantir CTO) is an angel investor. Sankar does not make casual bets. Palantir's core product is the infrastructure layer that allows government and enterprise operators to act on complex data in real time. His investment thesis here is legible: Antioch is building the infrastructure layer for physical AI in the same way Palantir built the infrastructure layer for data intelligence. He expects the platform to serve defence, national security, and industrial customers alongside commercial robotics teams, which is consistent with what co-founders Harry Mellsop and Alex Langshur have said publicly about the national security angle. Adrian Macneil's angel check is equally revealing. Macneil founded Foxglove, the leading robotics data visualization and debugging tool. He is not a generalist investor. He put money in because he sees Antioch as the missing simulation layer in the stack that Foxglove already serves. Together, they are building toward the GitHub and Stripe ecosystem of physical AI developer tools. That ecosystem framing is what shapes the hiring: Antioch is building for developer experience first, which means product, infrastructure, and robotics engineering are the dominant roles. The careers page has no listed roles but says explicitly: reach out to founders@antioch.com. That is not a placeholder. That is an invitation to bypass the queue entirely.
A tailored CV beats a generic one. Use Antioch's job description language to clear filters.
Don't make these mistakes
Vague interest in "robotics" or "physical AI." The team is technically rigorous. Harry and Colton (ex-Google DeepMind) will notice immediately if you are speaking in generalities. Be specific about what you have built, what environment it ran in, and what the sim-to-real failure mode was.
Mistakes that kill Antioch applications
A recycled CV gets rejected fast at Antioch ( people). They notice.
Skip 'I'm looking for...' — start with Physical AI is the defining technology race of the 2020s and your specific angle on solving it.
The wait-and-hope strategy fails. Follow up on day five — response rates roughly double.
Applying to Antioch? Get the contact, not the form.
The Antioch interview process
4 stages · 14 days typical · take-home: yes · modelled from similar companies
We don't yet have verified candidate reports for Antioch. What follows is the typical process for a -person AI company — treat it as a model, not confirmed detail.
Interview stages
Recruiter Screen
Phone or video · 30 min
Basic qualification and logistics
Recruiter or HR
Hiring Manager Interview
Video call · 45 min
Role fit and experience deep-dive
Hiring manager
Technical/Functional Round
Video call · 60 min
Skills assessment and problem-solving
Team members
Final Round
In-person or video · 60 min
Culture fit and cross-functional alignment
Senior leadership
Antioch take-home assignment
Antioch includes a take-home exercise in their interview process. For AI roles, this typically involves a practical problem that takes 2-4 hours. Focus on clean, working code over premature optimization. They're evaluating how you think and communicate, not just the solution.
Antioch interview timeline
Timeline: ~ days. That's about average than the AI median (14 days at people).
Interviewed at Antioch?
Tell us how it went — stages, questions, timeline. Takes 90 seconds and it's how this page stays accurate for the next person.
Submit your Antioch interview experience →Antioch jobs, frequently asked questions
How many jobs does Antioch have open?
As of April 2026, Antioch has 3 open positions.
Does Antioch hire remotely?
Antioch doesn't have remote openings at the moment. All roles are in New York.
What roles is Antioch hiring for?
Antioch is hiring across Engineering. The most recent opening is Robotics / Simulation Engineer.
How do I apply for a job at Antioch?
Apply via the links above. For tips, read our guide on how to get hired at Antioch.
Does Antioch respond to cold emails?
Not enough data yet on Antioch's cold email response rates.
Who is the hiring manager at Antioch?
At this size, hiring is usually run by the hiring manager.
How competitive is it to get hired at Antioch?
Typical applicant count for AI roles ( people): 100-250 in two weeks. Apply fast.
How many rounds is the Antioch interview?
4 stages: Recruiter Screen, Hiring Manager Interview, Technical/Functional Round, Final Round.
Is the Antioch interview hard?
Expect technical depth and system design, not algorithm trivia. Candidates report Technical Interview as the toughest stage.
Does Antioch give a take-home task?
Yes, Antioch includes a take-home assignment.
How long does Antioch take to get back to you?
Around 14 days across the full process.
What should I prepare for the Antioch interview?
technical depth and system design is the priority. Show you can work autonomously — that matters more than algorithms at people.
Where is Antioch based?
Antioch is headquartered in New York, US.
Get Antioch roles before they're posted
A role stays uncontested for about four days. Here's the window — and where we put you in it.
From $9/month, cancel any time.
Watching Antioch
0 applicantsRole spotted & verified
1You get the alert
1You've applied
~8Hits the job boards
250+